The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…

This systematic review aims to verify whether tools designed to assess Ayres Sensory Integration constructs take into account the basic principles of current early childhood intervention approaches, namely the family-centered approach, child and family routines, and natural contexts. This systematic review was based on a standard protocol…

Objective: Gender-sensitive approaches to increasing men's physical activity (PA) through sports settings have shown promise across cultural contexts. We examined changes to men's walking and the contribution of walking towards selfreported PA after participating in the men-only European Fans in Training (EuroFIT) programme before exploring men's…

Infants develop attachment to their caregivers very early on. The quality of attachment is considered to be crucial for the emotional development of humans and animals alike. Despite its importance, very little is known about how attachment develops between children with Autism Spectrum Disorder (ASD) and their caregivers. The purpose of the…

Person-fit analyses are commonly used to detect aberrant responding in self-report data. Nonparametric person fit statistics do not require fitting a parametric test theory model and have performed well compared to other person-fit statistics. However, detection of aberrant responding has primarily focused on dominance response data, thus the…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

This study explored the use of stealth assessments within a digital game to assess second language (L2) Chinese learners' reading comprehension. Log data tracking learners' in-game behaviors from a game designed for Chinese dual language immersion classrooms (Poole et al., 2022) were used to construct Bayesian Belief Networks to model reading…

Due to globalization trends, engineers are increasingly expected to work effectively across national and cultural boundaries. However, there remains a lack of valid and reliable measures of global engineering competency. To address this gap, the research team has undertaken a large-scale research project to develop a suite of instruments to…

Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…

Visual inspection of luggage using X-ray technology at airports is a time-sensitive task that is often supported by automated systems to increase performance and reduce workload. The present study evaluated how time pressure and automation support influence visual search behavior and performance in a simulated luggage screening task. Moreover, we…

Introduction: autism spectrum disorder (ASD) and intellectual disability (ID) seem to influence the risk of and vulnerability to exposure to trauma and adverse events. While assessment of a psychiatric disorder in ASD and ID generally is challenging, identification of post-traumatic stress disorder (PTSD) seems particularly so, and knowledge does…

The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…

This study examines whether including more contextual information in data analysis could improve our ability to identify the relation between students' online learning behavior and overall performance in an introductory physics course. We created four linear regression models correlating students' pass-fail events in a sequence of online learning…

Theory of mind refers to the ability to attribute beliefs to oneself and others. The present study used a dynamic systems approach to assess how environment may affect the development of second-order theory of mind (e.g., "John knows that Mary knows that he went out yesterday"). Theory of mind is divided into two major dimensions:…